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Distributed: Friday, April 7, 2006
Due: 11:00 a.m., Friday, April 14, 2006
Extensions in extreme circumstances only.
This page may be found online at
http://www.cs.grinnell.edu/~rebelsky/Courses/CS152/2006S/Exams/exam.02.html
.
Contents
The instructions on this exam are slightly different than the instructions on the other exam. Those who correctly summarize the differences on the cover page of their exam will earn two extra points on this exam.
There are four problems on the exam. Some problems have subproblems. Each problem is worth twenty-five (25) points. The point value associated with a problem does not necessarily correspond to the complexity of the problem or the time required to solve the problem.
Experience shows that different people find different problems complex. Hence, if you get stuck on an early problem, try moving on to another problem and let your subconscious work on the early problem. (You'll also get a better sense of accomplishment if you can find at least one problem that you can solve early.)
This examination is open book, open notes, open mind, open computer, open Web. However, it is closed person. That means you may not talk to other people about the exam. Other than as restricted by that limitation, you should feel free to use all reasonable resources available to you. As always, you are expected to turn in your own work. If you find ideas in a book or on the Web, be sure to cite them appropriately.
Although you may use the Web for this exam, you may not post your answers
to this examination on the Web (at least not until after I return exams
to you). And, in case it's not clear, you may not ask others (in person,
via email, via IM, by posting a please help
message, or in any
other way) to put answers on the Web.
This is a take-home examination. You may use any time or times you deem appropriate to complete the exam, provided you return it to me by the due date. Experience from the first exam suggests that you should begin this exam early, or at least look at the problems early.
I expect that someone who has mastered the material and works at
a moderate rate should have little trouble completing the exam in a
reasonable amount of time. In particular, this exam is likely to take
you about four to six hours, depending on how well you've learned topics
and how fast you work. You should not work more than eight hours
on this exam. Stop at eight hours and write There's more to life
than CS
and you will earn at least 75 points on this exam.
I would also appreciate it if you would write down the amount of time each problem takes. Each person who does so will earn two points of extra credit. Since I worry about the amount of time my exams take, I will give two points of extra credit to the first two people who honestly report that they've spent at least five hours on the exam or completed the exam. (At that point, I may then change the exam.)
You must include both of the following statements on the cover sheet of the
examination. Please sign and date each statement. Note that the
statements must be true; if you are unable to sign either statement,
please talk to me at your earliest convenience. You need not reveal
the particulars of the dishonesty, simply that it happened. Note that
inappropriate assistance
is primarily assistance from anyone
other than Professor Rebelsky (that's me). Inappropriate assistance
also includes assistance given to another member of the class.
1. I have neither received nor given inappropriate assistance on this examination.
2. I am not aware of any other students who have given or received inappropriate assistance on this examination.
Because different students may be taking the exam at different times,
you are not permitted to discuss the exam with anyone until after I have
returned it. If you must say something about the exam, you are allowed to
say This is among the hardest exams I have ever taken. If you don't
start it early, you will have no chance of finishing the exam.
You
may also summarize these policies (but not the changes since the previous
exam). You may not tell other students which problems you've finished.
You may not tell other students how long you've spent on the exam.
You must both answer all of your questions electronically and turn in a printed version of your exam. That is, you must write all of your answers on the computer, print them out, number the pages, put your name on every page, and hand me the printed copy. You must also email me a copy of your exam by copying the various parts of your exam and pasting it into an email message. Put your answers in the same order as the problems. Please write your name at the top of each sheet of the printed copy. Failing to do so will lead to a penalty of two points. Turning your exam in in reverse order will also lead to a penalty, albeit an unspecified one.
In many problems, I ask you to write code. Unless I specify otherwise in a problem, you should write working code and include examples that show that you've tested the code. Unless I specify otherwise, you should document your code (using javadoc-style comments for classes, fields, and methods and slash-slash comments for particular algorithm details and end braces).
Just as you should be careful and precise when you write code and documentation, so should you be careful and precise when you write prose. Please check your spelling and grammar. Since I should be equally careful, the whole class will receive one point of extra credit for each error in spelling or grammar you identify on this exam. I will limit that form of extra credit to five points.
I will give partial credit for partially correct answers. You ensure the best possible grade for yourself by emphasizing your answer and including a clear set of work that you used to derive the answer.
I may not be available at the time you take the exam. If you feel that a question is badly worded or impossible to answer, note the problem you have observed and attempt to reword the question in such a way that it is answerable. If it's a reasonable hour (before 10 p.m. and after 8 a.m.), feel free to try to call me in the office (269-4410) or at home (236-7445). I also respond well to email questions.
I will also reserve time at the start of classes next week to discuss any general questions you have on the exam.
In this laboratory, you will use project named Exam2
with a host of packages, including.
username.analysis
,
username.functions
,
username.linear
,
username.tests
, and
username.util
.
a. In a terminal window, type
/home/rebelsky/bin/exam2
You should see messages about files being copied.
b. Start Eclipse.
c. In Eclipse, build a project named Exam2 from
/home/username/CSC152/Exam2
.
d. You are now ready to begin the examination.
Topics: Input/Output, Running-time analysis, Inheritance, Polymorphism
Graham and Gretta Grapher are disappointed with the current support we seem to have for analyzing algorithms. They note that
It's all well and good that we can determine the number of steps or the running time of an algorithm with respect to the input size, but we would certainly understand the relationship better if we could easily graph the results.
For example, they would like to write something like the following.
for (int n = 0; n < BOUND; n = update(n)) { long start = System.currentTimeMillis(); for (int rep = 0; rep < REPETITIONS; rep++) { // Run the algorithm on input of size n } // for each repetition long finish = System.currentTimeMillis(); long costInMicros = (1000*(start-finish))/REPETITIONS; graph.plot(n, costInMicros, "*"); } // for each n
They consult their friend Terry Texter, who develops a simple text-based screen and graph, which you can find as username.analysis.Screen.java and username.analysis.Graph.java.
Graham and Gretta giggle in response to Terry's generosity, and then quickly rewrite the program used to analyze the exponentiation algorithms. You can find their rewritten code as username.tests.AnalyzeExpt.java.
a. Unfortunately, they observe that Terry's graph does a one-to-one mapping of value to position. Since they use a maximum n of 1000, and the screen is typically only 80 columns wide, they find the results, well, less than satisfactory. They turn to you for help.
Please write (and test) a new class, ScaledGraph
, that
lets the client specify that maximum x and y values along with the width
and height of the graph. For example, if we made the graph 80 columns
wide and 20 columns high but specified the maxium x as 800 and the
maximum y as 800, then the point (350,75) would be plotted at character
position (35,2).
b. Graham and Gretta are overjoyed by your genius. Of course, that means
that they want to do more. They say We can plot points. Can we now
easily graph functions?
They begin to do so by hand, but
quickly realize that they would be much better off adding a
graph(Function f)
method to Graph
or
ScaledGraph
(or, better yet, having you add such a
method).
Unfortunately, their experience in Scheme has misled them. Java does not provide an immediately obvious way to pass functions as parameters. They turn to their friends, Otto and Oxana Overkill, for ideas.
Otto and Oxana say
Hey, you remember that strange
TextBlock
thingy that Rebelsky had us do? I bet we could do the same thing with functions, and require each function to include anapply(int x)
method.
They quickly throw together a username.functions
package, that includes a
UnaryIntegerFunction.java
interface; some basic functions, such as
IdentifyUIF.java
and
LogUIF.java;
and even some ways of combining functions, such as
ProductUIF.java
and
ComposeUIF.java.
They even write a few programs to test their ideas. The first simply builds some functions and applies them to a variety of values. You can find that simple test at username.tests.TestFuns.java.
More importantly, they write a simple program that graphs some sample functions, which you may find at. username.tests.GraphFuns.java.
Using their ideas, add a graph(UnaryIntegerFunction f)
method to ScaledGraph
and test that method.
c. Optional! Five points of extra credit.
Graham and Greta generally appreciate what you've done, but they note
that one problem is that they are now limited to what is often
called a linear-linear
graph. That is, the offset of each
point from the origin is linear in the x value and the y value.
As die-hard graphers, they have used a variety of other kinds of graph
paper, such as log-linear
, in which the x distance of a point
from the origin depends on the log of x, rather than on x.
Fortunately, the UnaryIntegerFunction
type that Otto
and Oxana wrote for the previous subproblem should help. That is, when
someone constructs a graph, they might also specify a function by
which one should scale values on the x and y axes.
Write and test a new graphing class, FancyGraph
,
whose constructor takes six parameters
and which applies mungeX and mungeY to every point before plotting it.
Topics:: Linear structures, Array-based implementations of ADTs
Randy Random loves that we have built so many kinds of linear structures.
However, Randy notes that we've left out one kind; one close to Randy's
heart. Randy notes,
When I make a to-do list, I like to get things back in an
unpredictable order.
Your rebellious professor decides that you should rapidly respond
to this request by building the RandomLinearStructure
class that does what Randy wants. That is, a call to get
for members of this class should return some element of the structure,
but one that is difficult to predict. (In particular, you should choose
every element in the structure with equal probability.)
Write and test this class, using a Vector as the underlying structure.
In doing so, please make sure that both put
and
get
are constant-time operations (except when the
Vector expands).
Note that removing an object from the middle of a Vector is not a constant-time operation, but removing the last element is.
Topics: Arrays, Stacks, Running-time analysis
Minnie and Milton Minimalist suggest that, although we use Vectors
for problems like the previous one, Vectors are probably overkill.
That is, the only reason we really use Vectors is that we want
dynamic arrays, arrays that expand when we need more space. They
suggest that we need a DynamicArray
class,
which provides only set
, get
, and
size
.
Of course, as minimalists, they'd rather let you develop the code than develop it themselves. Fortunately, you find that someone has started to answer their request, and created the files username.util.SimpleArray.java and username.util.DynamicArray.java.
a. On further inspection, you note that the implementer cleverly forgot to
implement the ensureMinimumSize(int min)
method. Implement
that method so that it expands the underlying SimpleArray
to a size of exactly min
.
b. Steve and Stella Stacker quickly implement a stack that uses your
new DynamicArray
class. You can find their implementation
as
username.util.ArrayBasedStack.java.
You can find a test as
username.tests.TestStack.java.
Unfortunately, they quickly discover that the reverse
procedure in TestStack
seems to have a running time
quadratic in the input size, rather than the linear running time they expected.
i. Confirm or refute their experimental observation.
ii. Explain their experimental observation.
iii. Indicate what needs to be changed (and how) to make
reverse
linear. (Note that the change should not
be in reverse
, but instead in Stack
or DynamicArray
.)
Topics: Linear structures, Sorting, Running-time analysis
As you may recall, heaps provide a relatively efficient implementation of priority queues. A heap is a form of binary tree. Heaps must be nearly complete. That is, all rows but the last row are complete and the last row has gaps only at the right). Heaps must also have the heap property. That is, the value stored in a node must be smaller than or equal to the values stored in its descendants. Near-completeness guarantees that the depth is in O(log2(n)). The heap property guarantees that we can easily find the smallest value (after all, it's at the root of the tree).
To get the smallest value from the heap, we remove the value at the root
(constant time), move the last value in the last row to the root (constant
time), and then swap down
, moving that value to its appropriate place
in the heap (time proportional to depth).
To add a value to the heap, we put it at the the end of the last row (constant
time) and then swap up
moving that value to its appropriate place in
the heap (time proportional to depth).
In class, I suggested that we could implement heaps using TreeNode
structures with a value, left child, and right child. However, Peter
and Petra Pedant note that most people use arrays, rather than actual trees,
to store heaps, and that I should teach you about that variant.
The Pedants note that it is much easier to store heaps in arrays, with level i immediately before level i+1. That is, the root is at position 0. The left and right children of the root are at positions 1 and 2. The left and right children of the node at position 1 are at positions 3 and 4. The left and right children of the node at position 2 are at positions 5 and 6. And so on and so forth.
Consider the following heap:
A / \ B F / \ / \ C X G K /\ /\ /\ D D Y Z H I
We can represent the position of each node as follows.
0 / \ 1 2 / \ / \ 3 4 5 6 /\ /\ /\ 7 8 9 10 11 12
Hence, the array might have the form
0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ... +---+---+---+---+---+---+---+---+---+---+---+---+---+---+---+--- | A | B | F | C | X | G | K | D | D | Y | Z | H | I | | | +---+---+---+---+---+---+---+---+---+---+---+---+---+---+---+---
Why would we choose to store the heap in an array? One reason is that it saves space. A better reason is that it simplifies a common suboperation in heaps. You may recall that we add new elements to the end of the last row, and we grab the last element in the last row when deleting (we don't delete it, we shove it at the root). If we store the heap in an array and keep track of how many values there are, we can easily find the last thing.
But what do we do about finding parents and children? Some simple math suggests that the index of the left child of the node at index i is 2*i+1 and the index of the right child is 2*i+2. Similarly, the index of the parent of the node at position i is the floor of (i-1)/2.
I've begun to implement the Heap data structure, which you will find in username.linear.Heap.java. I've even written a simple test, which you will find at username.tests.TestHeap.java.
a. As you can see, I have neglected to implement the swapUp
and
swapDown
operations. Implement those operations.
b. In class, I claimed that we could use heaps to implement a relatively fast sorting strategy. To sort a group of values, shove them all into the heap and then take them out in order. Implement that strategy. That is, write a method that takes a collection of values (e.g., an array) as input, puts all the values in the collection into a heap, and then puts the values from the heap back into the collection in sorted order.
c. I also claimed that this strategy for sorting should take time proportional to O(nlog2n). Gather experimental data to verify or refute that claim.
These are some of the questions students have asked about the exam and my answers to those questions.
General Questions
Problem 1: Graphing
Problem 3: Random Linear Structures
peek
have to return the same value as the next call to get
.peek
method, like the get
method should return a hard-to-predict value. Of course, if you want to carefully write your code so that peek
predicts the value returned by get
, that's cool, too.remove
to remove the random element I've selected, but I understand that remove
is not a constant-time operation. What should I do?Problem 3: Dynamic Arrays
I was trying to make an array in a generic class, using T as the base type of the array. Can I do that?
Java will not permit you to do so.
How do I get around
that problem?
Make an array of objects, and cast values when you remove them. See SimpleArray.java
for more details
. Problem 4: Heaps
swapDown
.
How do I decide whether to compare the parent value to the left child or the right child or both?Here you will find errors of spelling, grammar, and design that students have noted. Remember, each error found corresponds to a point of extra credit for everyone. I limit such extra credit to six points.
Graph.java
actually goes to Screen.java
. [CW, 1 point]
TestStack
and TestFunctions
, Sam cleverly wrote A simple tests ofrather than
A simple test of[LH, 2/5 point]
Graph
, the wonders of cut-and-paste led Sam to incorrectly comment the end brace for the Graph
constructor with // Screen
. [EJ, 1/5 point]
TestSimpleArray
, the lines to print zeroToNine
and zeroToTen
print out ints
instead. [ST, 1/5 point]
rather linear running time that they expectedshould be
rather than the linear running time that they expected[LK, 1/5 point]
Graph
, the wonders of cut-and-paste led Sam to incorrectly comment the end brace for plot
with // setCharAt
. [IBR, 1/5 point]
Moral: SamR does too much cut-and-paste when he is coding.
Late March to Early April 2006 [Samuel A. Rebelsky]
Wednesday, 5 April 2006 [Samuel A. Rebelsky]
Thursday, 6 April 2006 [Samuel A. Rebelsky]
Friday, 7 April 2006 [Samuel A. Rebelsky]
Sunday, 9 April 2006 [Samuel A. Rebelsky]
Monday, 10 April 2006 [Samuel A. Rebelsky]
Tuesday, 11 April 2006 [Samuel A. Rebelsky]
Wednesday, 12 April 2006 [Samuel A. Rebelsky]
[Skip to Body]
Primary:
[Front Door]
[Current]
[Glance]
-
[Honesty]
[On Teaching and Learning]
Groupings:
[EBoards]
[Examples]
[Exams]
[Handouts]
[Homework]
[Labs]
[Outlines]
[Readings]
[Reference]
Misc:
[SamR]
[Java 1.5 API]
[Espresso]
[TAO of Java]
[CS152 2004F]
[CS152 2005S]
[CS152 2005F]
Disclaimer:
I usually create these pages on the fly
, which means that I rarely
proofread them and they may contain bad grammar and incorrect details.
It also means that I tend to update them regularly (see the history for
more details). Feel free to contact me with any suggestions for changes.
This document was generated by
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The source to the document was last modified on Thu Apr 13 10:24:41 2006.
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.
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